Description Usage Format Note Author(s) Source References See Also
PolySet of polygons for the shorelines of the northeast Pacific Ocean and of the world, both in normal and high resolution.
1 2 3 4 |
Data frame consisting of 4 columns: PID
= primary polygon ID,
POS
= position of each vertex within a given polygon, X
= longitude coordinate, and Y
= latitude coordinate. Attributes:
projection = "LL"
.
In R, the data must be loaded using the data
function.
Nicholas M. Boers, Associate Professor – Computer Science
MacEwan University, Edmonton AB
Last modified Rd: 2015-01-22
Polygon data from the GSHHG (Global Self-consistent, Hierarchical,
High-resolution Geography) Database.
Download the native binary files of shoreline polygons, rivers, and borders
contained in the latest zip archive (version 2.3.4 ) at
http://www.soest.hawaii.edu/pwessel/gshhg/.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | nepacLL <- importGSHHS("gshhs_h.b", xlim=c(-190,-110), ylim=c(34,72),
level=1, n=15, xoff=-360)
nepacLLhigh <- importGSHHS("gshhs_f.b", xlim=c(-190,-110),
ylim=c(34,72), level=1, n=0, xoff=-360)
nepacLLhigh <- thinPolys(nepacLLhigh, tol=0.1, filter=3)
worldLL <- importGSHHS("gshhs_l.b", xlim=c(-20,360), ylim=c(-90,90),
level=1, n=15, xoff=0)
worldLL <- .fixGSHHSWorld(worldLL)
worldLLhigh <- importGSHHS("gshhs_i.b", xlim=c(-20,360),
ylim=c(-90,90), level=1, n=15, xoff=0)
worldLLhigh <- .fixGSHHSWorld(worldLLhigh)
|
Wessel, P. and Smith, W.H.F. (1996) A global, self-consistent,
hierarchical, high-resolution shoreline database. Journal of
Geophysical Research 101, 8741–8743.
http://www.soest.hawaii.edu/pwessel/gshhg/Wessel+Smith_1996_JGR.pdf
Data:
bcBathymetry
,
surveyData
,
towData
Functions:
importGSHHS
,
importShapefile
,
plotMap
,
plotPolys
,
addPolys
,
clipPolys
,
refocusWorld
,
thickenPolys
,
thinPolys
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